Associations between interleukin 17A and 17F polymorphisms and asthma susceptibility: A meta-analysis

Owing to their role in inflammatory reactions and immunological responses as well as their chromosomal location, interleukin (IL) 17A and 17F are regarded as candidate causal genes associated with asthma. The aim of this study was to determine whether IL17 polymorphisms are associated with susceptibility to asthma. We used the PubMed/Medline and Embase databases to search for studies reporting IL17 polymorphisms in patients with asthma and healthy controls. Meta-analyses were conducted to determine the associations between IL17A rs8193036 (−737C/T), rs2275913 (−197G/A), rs3819024 (A/G), rs3748067 (C/T), and rs4711998 (A/G) and IL17F rs763780 (7488A/G), rs2397084 (T/C), rs1889570 (C/T), rs11465553 (G/A), and rs1266828 (T/C) polymorphisms and asthma susceptibility. A total of 20 studies were included in this meta-analysis. Our results revealed the IL17A rs8193036 CC genotype was associated with asthma susceptibility (odds ratio [OR] = 1.490, 95% confidence interval [CI] = 1.027–2.161, p = .036). However, stratification by ethnicity indicated no association between this polymorphism and asthma in European and Asian subjects. Furthermore, no association was found between this polymorphism and asthma using the allele contrast, dominant or homozygous contrast models. No evidence of an association was found between any of the other IL17A and IL17F polymorphisms and asthma susceptibility in this meta-analysis. This meta-analysis showed that, among the studied polymorphisms, only the CC genotype of IL17A rs8193036 is associated with asthma susceptibility.     

Association between interluekin-17 gene polymorphisms and the risk of cervical cancer in a Chinese population

We conducted a study to analyze the association of three common SNPs of IL-17A rs2275913 and rs3748067 and IL-17F rs763780 gene polymorphisms with the risk of cervical cancer in a Chinese population. Our study included 352 cervical cancer patients and 352 controls between January 2013 and December 2014. Genotyping of IL-17A rs2275913 and rs3748067 and IL-17F rs763780 genes was performed by multiplex PCR assays using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). By χ² test, there was significantly difference in the genotype distribution of IL-17A rs2275913 between cervical cancer patients and control subjects (χ²=11.45, P=0.003). By conditional logistic regression analysis, we found that individuals with the GA and AA genotypes were associated with an increased risk of cervical cancer when compared with the GG genotype in codominant model, and the adjusted Ors (95% CI) were 1.57 (1.13-2.18) and 2.01 (1.15-3.49), respectively. In dominant model, we found that the GA+AA genotype of rs2275913 was correlated with a moderate increased risk of cervical cancer compared with the GG genotype (OR=1.64, 95% CI=1.20-2.24). We only found significant interaction between rs2275913 polymorphism and HPV-16 or 18 infection in the risk of cervical cancer (P for interaction <0.05). In conclusion, our study suggests that IL-17A rs2275913 polymorphism may affect the development of cervical cancer in codominant and dominant models, and this gene polymorphism has interaction with HPV-16 or 18 infection.     

Association of IFIH1 rs1990760 polymorphism with susceptibility to autoimmune diseases: A meta-analysis

Abstract

Published data on the association between the IFIH1 rs1990760 polymorphism and multiple autoimmune diseases are controversial and inconclusive. To more precisely estimate the association between the IFIH1 rs1990760 polymorphism and susceptibility to autoimmune diseases, a meta-analysis was conducted. Studies examining the association of the IFIH1 rs1990760 polymorphism with autoimmune diseases were exhaustively searched using PubMed, Web of Science and a review of the references. A total of 19 studies with 26 comparisons including 8 type 1 diabetes (T1D), 5 systemic lupus erythematosus (SLE), 5 Graves’ disease (GD), 2 multiple scleorosis (MS), 2 rheumatoid arthritis (RA), 2 Hashimoto's thyroiditis (HT), 2 autoimmune Addison’s disease (AAD) were available for this meta-analysis. Meta-analysis was performed for genotype T/T?+?T/C (dominant model), genotype T/T (recessive model) and T-allele in fixed or random-effects models. The overall odds ratios (ORs) and 95% confidence intervals (CIs) for T-allele were T1D (OR?=?1.184, 95% CI?=?1.142–1.229), SLE (OR?=?1.143, 95% CI?=?1.073–1.217), MS (OR?=?1.181, 95% CI?=?1.062–1.313) and RA (OR?=?1.115, 95% CI?=?1.004–1.239), respectively. For T1D and SLE, significant association was observed in the population of European ancestry, but not in the Asian population. This meta-analysis demonstrates that the IFIH1 rs1990760 T-allele confers susceptibility to T1D, SLE, MS and RA and suggests that the IFIH1 rs1990760 polymorphism might have no effect on GD and AAD. Our result provides further evidence for the notion of common gene underlying multiple autoimmune diseases.     

The association between interleukin-1β gene polymorphisms and the risk of breast cancer: a systematic review and meta-analysis

IntroductionIt is reported that there is a close association between interleukin-1β (IL-1β) gene polymorphisms and breast cancer risk. However, the results remain controversial.Material and methodsEligible published articles were searched in PubMed, Embase, and Web of Science databases up to June 2018. Odds ratios with 95% confidence intervals were used to identify potential links between IL-1β genetic polymorphisms and the risk of breast cancer.ResultsFrom our results, we found that three common polymorphisms in IL-1β (rs16944, rs1143634, rs1143627) had no significant associations with breast cancer risk in all genetic models. Based on the analysis from ethnic subgroups, there was a higher risk of breast cancer for rs16944 polymorphism in the recessive model and heterozygous model among Asians (TT vs. CC+CT: 1.229, 95% CI: 1.063–1.422, p = 0.005; TT vs. CT: 1.211, 95% CI: 1.057–1.388, p = 0.006). For the rs1143627 polymorphism, a significantly decreased breast cancer risk was observed in the dominant model only in Asians (CT+TT vs. CC: OR = 0.944, 95% CI: 0.897–0.994, p = 0.027). After stratifying patients according to the menopausal state, we found that polymorphism of rs1143627 correlated with reduced breast cancer risk among post-menopausal women in three genotype models: allele, recessive model and homozygous model (T vs C: 0.859, 95% CI: 0.753–0.98, p = 0.024; TT vs. CC+CT: 0.727, 95% CI: 0.576–0.918, p = 0.007; TT vs. CC: 0.743, 95% CI: 0.626–0.882, p = 0.001). As for other analyses with reference to source of controls and genotyping methods, no significant association between IL-1β polymorphism and breast cancer risk was demonstrated.ConclusionsThe rs16944 and rs1143627 polymorphisms are significantly associated with the risk of breast cancer only in Asian people and in post-menopausal women respectively.     

Association between HLA-DQB1 polymorphisms and pemphigus vulgaris: A meta-analysis

Objective: This study was performed to systematically summarize the results on the association of HLA-DQB1 polymorphisms with pemphigus vulgaris (PV) and other related factors.

Methods: A comprehensive literature search of PubMed, The Cochrane Library, Embase, and Google Scholar database was conducted to identify relevant articles in English, with the last report up to November 1, 2016. Heterogeneity test was performed, and publication bias was evaluated. Stata software 12.0 was used to perform the meta-analysis. Odds ratios (ORs) and 95% confidence intervals (CI) were used to describe the correlation by random-effects model.

Results: 18 studies were obtained after searching databases: 10 studies were about Caucasian, and 8 articles were about non-Caucasian. Meta-analysis revealed that the allele and phenotype frequencies of DQB1*05 were markedly higher in PV patients than in controls [P < 0.001, OR: 2.640, 95%CI: 1.570–4.441; P = 0.030, OR 3.688, 95%CI: 1.138–11.946]. In addition, DQB1*03 was significantly increased at the allele level [P < 0.001, OR: 2.080, 95%CI: 1.507–2.869], and DQB1*02 was significantly decreased in PV at the allele and phenotype levels [P = 0.002, OR: 0.450, 95%CI: 0.289–0.702; P = 0.001, OR: 0.293, 95%CI: 0.146–0.587]. When based on each subtype of HLA-DQB1, DQB1*05:03 and DQB1*03:02 may play susceptibility roles in PV, and DQB1*03:03, DQB1*05:01 and DQB1*06:01 are negatively associated with PV.

Conclusion: In summary, our study suggests that alleles from the groups DQB1*05 and DQB1*03, concretely DQB1*05:03 and DQB1*03:02, respectively, may be the susceptibility factors for PV at allele and phenotype levels, whereas DQB1*05:01, DQB1*02, DQB1*06:01, and DQB1*03:03 are negatively associated with PV.     

Association between APOC3 polymorphisms and non-alcoholic fatty liver disease risk: a meta-analysis

Background and AimThe apolipoprotein C3 (APOC3) polymorphism has been reported to predispose to non-alcoholic fatty liver disease (NAFLD). However, the results remain inconclusive. This meta-analysis aimed to provide insights into the association between APOC3 polymorphisms and NAFLD risk.MethodsStudies with terms “NALFD” and “APOC3” were retrieved from PubMed, Web of Science, CNKI and Wanfang databases up to August 1, 2019. Pooled odds ratio (OR) and 95% confidence interval (95% CI) for the association of APOC3 polymorphisms and NAFLD risk were calculated using fixed and random-effects models.ResultsA total of twelve studies from eleven articles were included. Of them, eight studies (1750 cases and 2181 controls) reported the strong association of variant rs2854116 with NAFLD and six studies (1523 cases and 1568 controls) found the association of rs2854117 polymorphism with NAFLD. Overall, a statistically significant association between rs2854116 polymorphism of APOC3 gene and NAFLD risk was found only under dominant model. However, association of rs2854117 polymorphism with NAFLD risk was not detected under all four genetic models. In sub-group analysis of NAFLD subjects based on country, no association among them in China was detected. Besides, four studies analyze the association between the two polymorphisms and clinical characteristics in all subjects or NAFLD patients, and we also failed detect any association between the wild carriers and variant carriers.ConclusionThe meta-analyses suggests that the rs2854116 polymorphism but not rs2854117 polymorphism in APOC3 gene might be a risk factor for NAFLD among Asians. That is, individuals with CT+CC genotype have higher risk of developing NAFLD. However, studies with sufficient sample size are needed for the further validation.     

Association between the three functional miR-146a single-nucleotide polymorphisms,rs2910164, rs57095329, and rs2431697, and autoimmune disease susceptibility: A meta-analysis

Studies suggest associations between the miR-146a single nucleotide polymorphisms (SNPs) and susceptibility to autoimmune diseases. However, the results are inconsistent and inconclusive. Therefore, the aim of this study was to arrive at a conclusion about the association between the three functional miR-146a SNPs and autoimmune disease risk. Studies were identified through PubMed/MEDLINE searches for studies published up to January 2016 using as keywords rs2910164, rs57095329, rs2431697, and miR-146a polymorphisms. Thirty studies were included in the meta-analysis. The SNP rs2910164?G?>?C was found to be associated with increased risk of multiple sclerosis (CC?+?CG versus GG, OR = 1.25, 95% CI: 1.01–1.55), with decreased risks of psoriasis (C versus G, OR = 0.81, 95% CI: 0.69–0.96; CC versus GC?+?GG, OR = 0.73, 95% CI: 0.56–0.94), Behcet’s disease (CC versus GC?+?GG, OR = 0.60, 95% CI: 0.50–0.73), asthma (C versus G, OR = 0.80, 95% CI: 0.69–0.93; CC versus GC?+?GG, OR = 0.65, 95% CI: 0.48–0.86), and uveitis (CC?+?CG versus GG, OR = 0.61, 95% CI: 0.49–0.77). The SNP rs2431697 C?>?T was found to be associated with an increased risk of SLE (T versus C, OR = 1.26, 95% CI: 1.15–1.38; TC?+?TT versus CC, OR = 1.28, 95% CI: 1.03–1.58; TT versus TC?+?CC, OR = 1.40, 95% CI: 1.21–1.62). The SNP rs57095329 A?>?G was found to be associated with an increased risk of SLE (G versus C, OR = 1.25, 95% CI: 1.17–1.35). The miR-146a SNPs rs2910164, rs57095329, rs2431697 are associated with susceptibility to certain autoimmune diseases. However, for other autoimmune diseases, they may be protective or insignificant.     

Association between interleukin-17 gene polymorphisms and risk of coronary artery disease

We conducted a case-control study to estimate the association between IL-17A rs2275913, rs3819025 and rs3748067 polymorphisms and development of coronary artery disease. A total of 415 patients with coronary artery disease and 448 health controls were recruited during the period of March 2013 and October 2014. Genotyping of IL-17A rs2275913, rs3819025 and rs3748067 were analyzed by polymerase chain reaction coupled with restriction fragment length polymorphism. By logistic regression analysis, we found that individuals with the AA genotype (OR, 2.18; 95% CI, 1.35-3.56) and the GA+AA genotype (OR, 1.39, 95% CI, 1.06-1.84) of rs2275913 were associated with an increased risk of coronary artery disease when compared with the GG genotype. Individuals carrying the GA+AA genotype of rs2275913 were more likely to have a higher risk of coronary artery disease in those with hypertension and smoking habit, and the adjusted ORs (95% CI) were 3.92 (2.13-6.82) and 2.74 (1.71-4.40). In conclusion, we suggest that individuals with the AA genotype and the GA+AA genotype of rs2275913 are associated with an increased risk of coronary artery disease, especially in those with hypertension and smoking habit.     

Association of XRCC3 gene rs861539 polymorphism with gastric cancer risk: evidence from a case-control study and a meta-analysis

The association between the X-ray repair cross-complementing group 3 (XRCC3) gene Thr241Met polymorphism (rs861539) and gastric cancer has been widely evaluated, but a definitive answer is so far lacking. We first conducted a case-control study to assess this association in a large Han Chinese population, and then performed a meta-analysis to further address this issue. Although our case-control association study and the following meta analysis involving 6,520 subjects indicated null association of XRCC3 gene rs861539 polymorphism between gastric cancer patients and controls under both allelic (odds ratio (OR) = 1.02; 95% confidence interval (CI): 0.91-1.14; P = 0.739) and dominant (OR = 0.97; 95% CI: 0.78-1.21; P = 0.803) models. Stratified analysis by ethnicity demonstrated a significant association in Asians. We conclude that the XRCC3 gene rs861539 polymorphism was associated with the risk for gastric cancer in Asian populations.     

抗11β-羟类固醇脱氢酶1的单克隆抗体的制备与鉴定

目的:制备抗人11β-羟类固醇脱氢酶1(homo sapiens hydroxysteroid 11-beta dehydrogenase 1,HSD11B1)的单克隆抗体(mAb)并初步鉴定其特性.方法:将正常成人肝组织匀浆离心并分离线粒体,用线粒体总蛋白免疫BALB/c小鼠,采用杂交瘤技术制备mAb,并通过间接ELISA法、Western blot、免疫组化的方法对mAb进行特性鉴定,通过免疫沉淀、Uni-ZAP XR肝脏cDNA表达文库筛选鉴定抗原.结果:通过间接ELISA筛选获得1株可稳定分泌抗人HSD11B1 mAb的杂交瘤细胞系.其分泌的mAb的Ig亚类(型)为IgG1(κ),Western blot结果显示该mAb可以特异地识别相对分子质量(Mr)为35 000的蛋白;应用mAb CBF245对人肝脏cDNA表达文库(Uni-ZAP XR)进行筛选,阳性噬菌斑测序结果显示5个阳性克隆插入序列均为HSD11B1.结论:mAb BAD062特异地识别抗原HSD11B1,该mAb可用于ELISA检测、Western blot、免疫组化和免疫沉淀实验,为HSD11B1的研究提供了有力的工具.     

Glutathione S-transferases M1/T1 gene polymorphisms and endometriosis: a meta-analysis of genetic association studies

In view of the controversies surrounding the glutathione S-transferases (GST) M1/T1-endometriosis association, a meta-analysis of the GSTM1/GSTT1 genetic association studies of endometriosis was performed. In this meta-analysis involving 14 GSTM1 studies with 1539 cases and 1805 controls and nine GSTT1 studies with 746 cases and 834 controls, respectively, substantial heterogeneities among studies were found. In addition, asymmetry in funnel plot was evident, which is likely to stem from publication bias, given no apparent indication of true heterogeneity. The bias appears to be prominent for GSTM1 studies, but is less so for GSTT1 studies. After correction for this bias, there is no evidence that women with GSTM1 null genotype have increased risk of developing endometriosis as compared with women with other genotypes. For GSTT1, the risk associated with the null genotype is 29% higher than other genotypes. However, even this estimate should be viewed with a large grain of salt, because the estimate could easily lose its statistical significance if there is a realistic 69-80% publication probability.     

Association between p53 Pro72Arg polymorphism and prostate cancer risk:a meta-analysis

The tumor suppressor gene p53 appears to be important in the development of many human cancers, such as prostate cancer. The association of p53 codon72 polymorphism with prostate cancer has been widely reported; however, the results are inconsistent. To derive a more precise estimation of this relationship, we performed an updated meta-analysis from 10 case-control studies. We conducted a search in the PubMed database without a language limitation, covering all papers published until July 2010. Risk ratios (RR) with 95% confidence intervals (CIs) were used to assess the strength of the association. Ten studies including 1,196 cases and 1,704 controls were selected. Overall, no significant differences of total prostate cancer risk and p53 codon polymorphism was found (Pro/Pro vs Arg/Arg, RR = 1.12, 95%CI=0.74-1.70, P heterogeneity = 0.016, I 2 = 55.8%; Pro/Pro+Pro/Arg vs Arg/ Arg, RR = 1.05, 95%CI=1.00-1.11, P heterogeneity = 0.077, I 2 = 51.1%). In the stratified analysis by ethnicity, the same results were found. However, in the control subgroup, there was a modest decreased association between prostate cancer risk and population-based control subjects under the recessive genetic model (RR = 0.31, 95%CI=0.10-0.91, P heterogeneity = 0.110, I 2 =60.8%). This meta-analysis suggested that p53 codon Pro72Arg polymorphism could be weakly associated with prostate cancer risk.     

Hsa-mir-499 rs3746444 polymorphism and cancer risk: a meta-analysis

MicroRNAs(miRNAs) are gene regulators involved in numerous diseases including cancer,heart disease,neurological disorders,vascular abnormalities and autoimmune conditions.Although hsa-mir-499 rs3746444 polymorphism was shown to contribute to the susceptibility of multiple genes to cancer,the data have yielded conflicting results.Therefore,this meta-analysis was performed to provide a comprehensive assessment of potential association between hsa-mir-499 rs3746444 polymorphism and cancer risk.In this meta-analysis,a total of 9 articles regarding 10 eligible case-control studies in English(including 6134 cases and 7141 controls) were analyzed.No significant association between hsa-mir-499 rs3746444 polymorphism and overall cancer risk was demonstrated.However,an increased risk was observed in the subgroup of breast cancer patients(G allele vs A allele:OR = 1.10,95% CI = 1.00-1.20;P heterogeneity = 0.114;I 2 = 53.9%) and population-based studies(G allele vs A allele:OR = 1.12,95% CI = 1.00-1.25;P heterogeneity = 0.062;I 2 = 64.0%).The findings suggested an association between hsa-mir-499 rs3746444 polymorphism and increased risk to breast cancer.     

Association of CAV1 polymorphisms with the risks of breast cancer: A systematic review and meta-analysis

BackgroundCaveolin-1 (CAV1) polymorphisms have been shown to correlated with breast cancer risk in previous studies. However, the role of CAV1 polymorphisms still remained indecisive, and dual functions of CAV1 was demonstrated in breast cancer development. Consequently, a meta-analysis to evaluate and summarize the association of the CAV1 polymorphisms with breast cancer susceptibility.Material and methodsExtensive search was performed in PubMed, Web of Science, Google scholar, EMBASE.com, CNKI and Wanfang searching platform up to March 2019. The Newcastle–Ottawa Scale (NOS) were used to evaluate the quality of each study. The Odds ratios (ORs) and the 95% confidence intervals (CIs) were analyzed to evaluate the strength of the associations in five genetic models. Inter-study heterogeneity was quantified using the I-squared (I²) test. In addition, the Egger’s test and Begg’s test were applied to evaluate the publication bias.Results4 case-control studies with 2115 cases and 2138 controls were enrolled into this analysis. There was a significant association between rs3807987 polymorphism of CAV1 and breast cancer in allele comparison (A vs. G: OR = 1.288, 95％CI = 1.162–1.428, P < 0.001), heterozygote comparison (AG vs. GG: OR= 1.422, 95％CI=1.233–1.639, P < 0.001), and dominant comparison (AA+AG vs. GG: OR=1.395, 95％CI=1.228-1.586, P < 0.001). A significant association of rs3807987 polymorphism in allele comparison (A vs. G: OR=1.238, 95％CI=1.109–1.383, P < 0.001), heterozygote comparison (AG VS. GG: OR=1.466, 95％CI=1.267–1.697, P < 0.05), and dominant comparison (AA+AG vs. GG: OR=1.384, 95％CI=1.209–1.585, P < 0.001) was also founded amongst Chinese population. A significant association between rs7804372 polymorphism and breast cancer amongst Chinese population in recessive comparison (AA vs. AT + TT: OR = 0.730, 95％CI = 0.567–0.940, P = 0.015) was identified. No significant association between breast cancer risk and rs1997623 was found.ConclusionCAV1 rs3807987 and rs7804372 polymorphisms are associated with the change of breast cancer risk. More well-designed and large studies in various populations are needed to further elaborate these associations.     

Association of three single nucleotide polymorphisms of ESR1 with breast cancer susceptibility: a meta-analysis

Expression of estrogen receptors is correlated with breast cancer risk, but inconsistent results have been reported. To clarify potential estrogen receptor (ESR)-related breast cancer risk, we analyzed genetic variants of ESR1 in association with breast cancer susceptibility. We performed a meta-analysis to investigate the association between rs2234693, rs1801132, and rs2046210 (single nucleotide polymorphisms of ESR1), and breast cancer risk. Our analysis included 44 case-control studies. For rs2234693, the CC genotype had a higher risk of breast cancer compared to the TT or CT genotype. For rs2046210, the AA, GA, or GA + GG genotype had a much higher risk compared to the GG genotype. No significant association was found for the rs1801132 polymorphism with breast cancer risk. This meta-analysis demonstrates association between the rs2234693 and rs2046210 polymorphisms of ESR1 and breast cancer risk. The correlation strength between rs2234693 and breast cancer susceptibility differs in subgroup assessment by ethnicity.     

Association between glutathione S-transferase gene M1 and T1 polymorphisms and chronic obstructive pulmonary disease risk: A meta-analysis

Chronic obstructive pulmonary disease (COPD) is a severe lung disease characterized by long-term breathing problems. A series of studies have indicated that the glutathione S-transferase genes M1 and T1 are associated with COPD susceptibility; however, the result still remains inconclusive. This meta-analysis was performed to estimate the effect of GSTM1 and GSTT1 polymorphisms in COPD risk. Eligible case-control studies published between January 2000 and December 2017 was searched and retrieved. A total of 37 articles were screened out, including 4674 COPD patients and 5006 controls. Overall, our results found that GSTM1 and GSTT1 null genotypes significantly increased the risk of COPD (GSTM1: odds ratio [OR] = 1.52, 95% confidence interval [CI] = 1.31-1.77, P <.00001; GSTT1: OR = 1.28, 95% CI = 1.09-1.50, P = .003). Subgroup analysis by ethnicity suggested that there was a close association between GSTM1 null polymorphism and COPD susceptibility in each studied ethnicity, while GSTT1 null polymorphism only showed association with Asian COPD patients. Moreover, we also found that joint GSTM1/GSTT1 null genotypes showed a high association with increased COPD susceptibility (OR = 1.42, 95% CI = 1.21-1.66, P < .0001). In conclusion, our results indicated that GSTM1 null, GSTT1 null, and the combined GSTM1/GSTT1 null genotypes might be risk factors in the development of COPD. However, future case-control studies with large-scale participants are still required to further estimate these associations.     

CYP17 T27C polymorphism and prostate cancer risk: a meta-analysis based on 31 studies

Objective

The cytochrome P450 17α-hydroxylase (CYP17) plays a vital role in androgen biosynthesis. A T-to-C polymorphism in the 5′ promoter region of CYP17 has been implicated as a risk factor for prostate cancer, but the results of individual studies are inconclusive or controversial. To derive a more precise estimation of the relationship, we performed an updated meta-analysis from 31 studies based on 27 publications.

Methods

A comprehensive search was conducted to examine all the eligible studies of CYP17 polymorphism and prostate cancer risk. We used odds ratios (ORs) with 95% confidence intervals (CIs) to assess the strength of the association.

Results

Overall, individuals with CC/CT genotype were not associated with prostate cancer risk (CC vs. TT: OR = 1.03, 95% CI = 0.86-1.24, P = 0.72, P_{heterogeneity} < 0.0001; CT vs. TT: OR = 0.99, 95% CI = 0.87-1.12, P = 0.88, P_{heterogeneity} = 0.0006). In the stratified analysis by ethnicity, there was a significantly increased risk of prostate cancer among individuals of African descent under the recessive model (OR = 1.56, 95% CI = 1.01-2.39, P = 0.04, P_{heterogeneity} = 0.65).

Conclusion

This meta-analysis suggested that CYP17 polymorphism might be associated with prostate cancer risk among individuals of African descent.     

A systematic review and meta-analysis of the association between HOTAIR polymorphisms and susceptibility to breast cancer

IntroductionMany studies are drawing attention to the associations of HOTAIR polymorphisms and susceptibility to breast cancer, while the results remain inconsistent. We conducted a meta-analysis on the association of four common HOTAIR polymorphisms with breast cancer susceptibility.Material and methodsEligible published articles were searched in PubMed, Embase, Cochrane library databases and Web of Science databases up to July 2019. Odds ratios with 95% confidence intervals were used to identify potential links between lncRNA HOTAIR polymorphisms and the risk of breast cancer.ResultsOur results showed no significance in all genetic models of all four SNPs. Pooled analyses detected crucial links between the rs1899663 polymorphism and decreased susceptibility to breast cancer in five genetic models rather than the dominant model in the hospital-based control subgroup. For the rs920778 polymorphism, we found that it significantly decreased breast cancer risk under recessive, homozygous and heterozygous models within the west Asian subgroup and increased breast cancer risk under allele and dominant models within the East Asian subgroup. Additionally, rs920778 polymorphism decreased breast cancer risk under recessive and heterozygous models in the hospital-based control subgroup. However, no significant association was observed between the rs4759314 polymorphism and breast cancer risk in overall and stratified analyses. For rs12826786 polymorphism, it was greatly associated with decreased breast cancer risk under recessive, homozygous and heterozygous models in the hospital-based control subgroup.ConclusionsHOTAIR rs920778, rs1899663 and rs12826786 polymorphisms may contribute to breast cancer susceptibility.     

CAV1 polymorphisms rs1049334, rs1049337, rs7804372 might be the potential risk in tumorigenicity of urinary cancer: A systematic review and meta-analysis

Background As an integral membrane, Caveolin-1 (CAV1), is a pivotal component to make up the caveolae protein. It has been demonstrated to influence tumorigenicity, including bladder, colon, liver, stomach, breast and lung cancer. Several publications had illustrated the relationship of between CAV1 polymorphism and urinary cancer, but the results were not consistent. We performed a comprehensive meta-analysis to explore the associations and remove the fog.Material and methods Extensive retrieve was performed in PubMed, Embase, Medline, Web of Science, CNKI, and Wanfang database up to September, 2018. Odds ratios (ORs) and 95% confidence intervals (CIs) were conducted to evaluate the overall strength of the associations in five genetic models, as well as in subgroup analyses, stratified by ethnicity, cancer type or source of control. Q-test, Egger’s test and Begg’s funnel plot were applied to evaluate the heterogeneity and publication bias. In-silico analysis was managed to demonstrate the relationship of polymorphism and CAV1 mRNA expression level.Results 34 case-control studies with a total of 13,778 cancer cases and 20,581 healthy controls were enrolled into the meta-analysis. The polled result shown that an increased risk of rs1049334 polymorphism on urinary cancer were reveled in homozygote comparison model (MM vs. WW: OR?=?1.240, 95% CI?=?1.052–1.462, P?=?0.011) and recessive comparison model (MM vs. MW?+?WW: OR?=?1.198, 95% CI?=?1.018–1.410, P?=?0.030). What’s more, rs17878467 polymorphism may play a protect role in the tumorigenesis of urinary cancer, shown in heterozygote comparison model (MW vs. WW: OR?=?0.882, 95% CI?=?0.78–0.999, P?=?0.048). For rs7804372, the overall pooled results revealed a reducing risk in allelic contrast model (M vs. W: OR?=?0.734, 95%CI?=?0.544-0.99, P?=?0.043), homozygote comparison model (MM vs. WW: OR?=?0.532, 95% CI?=?0.313–0.905, P?=?0.020) and recessive comparison model (MM vs. MW?+?WW: OR?=?0.580, 95% CI?=?0.437–0.77, P?<?0.001). In the stratified analyses by cancer types, the risk of PCa is downgrade by rs7804372 in all five genetic models. The GTEx in-silico analysis index that the polymorphism of CAV1 influence its mRNA expression by a dose-dependent effective of its mutant allele.Conclusion rs1049334 polymorphismof CAV1 upgrade the risk of urinary cancer, while rs1049337 and rs7804372 polymorphisms may act as a protector of urinary cancer. Further large and well-designed studies in various populations are needed to confirm the results.     

CYP2E1 RsaI/PstI polymorphisms contributed to oral cancer susceptibility: a meta-analysis

Several studies have investigated the associations between CYP2E1 RsaI/PstI polymorphisms and oral cancer risk, but results have been inconclusive. In order to derive a more precise estimation of the relationship, a meta-analysis was performed. PubMed and China National Knowledge Infrastructure (CNKI) searches were carried out for relevant studies published before September 2014. Meta-analysis was performed with the Stata, version 11.0. A total of 14 case control studies, including 1,962 cases and 3,271 controls, were selected. Overall, significant association was found between the CYP2E1 RsaI/PstI polymorphisms and oral cancer risk (for c1c1 vs. c1c2, OR=0.72, 95% CI=0.56-0.91; for c1c1 vs. c2c2, OR=0.45, 95% CI=0.25-0.82), while not for the dominant model (c1c1 vs. c1c2+c2c2, OR=0.84, 95% CI=0.69-1.01). In the subgroup analysis by ethnicity, statistically significant association was found in Caucasian, East Asian and South Asian. This meta-analysis suggests that the CYP2E1 RsaI/PstI polymorphisms are a risk factor for developing oral cancer.